Unsupervised Learning of Gaussian Mixtures Based on Variational Component Splitting.
Constantinos ConstantinopoulosAristidis LikasPublished in: IEEE Trans. Neural Networks (2007)
Keyphrases
- gaussian mixture
- unsupervised learning
- expectation maximization
- mixture model
- em algorithm
- gaussian mixture model
- image segmentation
- covariance matrix
- supervised learning
- probability density function
- covariance matrices
- closed form
- density estimation
- semi supervised
- maximum likelihood
- feature selection
- probabilistic model
- parameter estimation
- statistical analysis
- maximum a posteriori
- higher order
- image processing
- maximum likelihood estimation
- computer vision